DEVELOPMENT... OpenML
Run
162106

Run 162106

Task 3743 (Supervised Classification) fri_c2_500_25 Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8131
Per class
F measure
0.7405
Per class
Kappa
0.4644
KB relative information score
224.2263
Mean absolute error
0.2571
Mean prior absolute error
0.4768
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7479
Per class
Predictive accuracy
0.738
Prior entropy
0.9664
Recall
0.738
Per class
Relative absolute error
0.5394
Root mean prior squared error
0.4882
Root mean squared error
0.4689
Root relative squared error
0.9605
SciMark benchmark
938.4278
UserCPU time millis
40
UserCPU time millis training
40